Beginners: Use the Stock Market to Learn Python

This presentation introduces Python to Students. We learn a little about the topics listed below:

- Plain Python
- NumPy
- Pandas
- scikit-learn
- matplot lib
- Heroku

We build a simple application which completes these tasks once a day:

- Acquire Stock Market Prices
- Create Features from Prices
- Visualize Features
- Train Logistic Regression Model [masked])
- Predict 2015 and 2016
- Visualize Accuracy and Effectiveness of Predictions
- Serve the Visualizations from Heroku.com

The software behind this application is served from github:

https://github.com/danbikle/pyspy
https://github.com/danbikle/herokuspy

This presentation is served from www.syntax.us (http://www.syntax.us/):

http://www.syntax.us/posts/python_preso

Feel free to bring your laptop to follow along with the coding. If you have questions, e-mail Dan: bikle101 at gmail

Bio:

Dan Bikle is a Data Analysis Programmer